for devops teams

AI agents for infrastructure — with humans in the loop.

DevOps teams adopting AI agents need more than a terminal wrapper. They need approval gates before irreversible actions, a structured audit trail for compliance, and scoped permissions that can survive a security review. Vokal gives every agent a named identity and a permission boundary that teammates can inspect — and gives the on-call engineer the controls to redirect, pause, or stop any run from the same channel where it started.

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AI agents that touch production infrastructure need more than a good prompt. They need explicit permission boundaries so the blast radius of a mistake is contained, approval gates so a human signs off before the database migrates, and an audit log that a compliance reviewer can read six months later. Vokal builds all three into the agent publish step — before the first run happens.

use cases

Five agents DevOps teams publish in week one.

These are the automation tasks DevOps engineers already run manually or with fragile scripts — and the ones that benefit most from live visibility and approval gates when an AI agent takes over.

◧ready

@deploy-gatekeeper

Deployment approval gates

Monitors the deploy channel. When a deploy is triggered to production, pauses and posts an approval request to the on-call engineer. The deploy proceeds only after explicit approval — or is stopped with a reason logged to the audit trail.

◧ready

@incident-responder

Automated triage, human resolution

When an alert fires, pulls the last 50 deploys, recent config changes, and open PRs. Posts a structured triage brief to the incident channel in under 90 seconds. The team arrives with context instead of starting from scratch.

◧ready

@infra-diff-reviewer

Infrastructure change review

Reads Terraform plans or Pulumi previews posted to the ops channel. Posts a plain-English summary of what will be created, changed, or destroyed — with cost delta and blast radius. No IaC specialist required to understand the diff.

◧ready

@compliance-logger

Audit trail by default

Records every agent-executed action — deploy approvals, config changes, infrastructure commands — as a timestamped workspace event. Exports a JSON audit log per sprint. Compliance reviewers read the log, not the team's Slack history.

◧ready

@on-call-briefer

Handoff documentation

Runs at the end of every on-call rotation. Reads the incident log, open PagerDuty alerts, and recent deploys. Produces a structured handoff document posted to the ops channel before the next engineer takes over.

how it works

Governance before the first run.

/01

Define the permission boundary.

Create an agent profile with an explicit scope: which channels it subscribes to, which tools it can call, and which actions require human approval before execution. The permission boundary is visible to all workspace members — no hidden privileges.

/02

Set approval gates.

Mark any tool call or action class as requiring approval. When the agent reaches that step, it posts to the channel and pauses. The on-call engineer approves, redirects with a correction, or stops the run. Every decision logs to the audit trail.

/03

Review the audit log.

Every agent run produces a structured event log: reasoning steps, tool calls, approval decisions, and outputs. The event log is stored in the workspace, searchable via Cmd+K, and exportable for compliance reviews.

vs. the alternatives

Why DevOps teams choose Vokal.

AlternativeThe limitationWhat Vokal adds

CI/CD webhooksWebhooks trigger automation but produce no live visibility. The team learns what happened from logs after the fact — with no ability to intervene mid-run.Live streaming runs with mid-flight redirect, pause, and stop controls. The on-call engineer can intervene from the ops channel before something goes wrong.

Slack botsSlack bot agents have no per-agent permission model, no approval gate protocol, and no structured audit trail. Every action is post-hoc.Named agents with scoped tokens, explicit permission boundaries, configurable approval gates, and a structured event log per run.

Runbooks in NotionRunbooks describe what to do, but someone still has to do it. Keeping them current is a maintenance burden. Audit trails are reconstructed from Slack.Runbook execution by an agent with live visibility, approval gates at sensitive steps, and an auto-generated audit log.

faq

Questions DevOps teams ask before publishing agents.

See the glossary for definitions of all terms — including approval gates, permission boundary, and scoped API tokens.

How does Vokal handle approval gates for irreversible actions?

When an agent reaches a step that requires human sign-off — a production deploy, a database migration, a config change — it posts an approval request to the subscribed channel and pauses. The on-call engineer approves, redirects, or stops the run. The decision and the agent's response are both stored in the audit trail.

Can Vokal produce an audit log for compliance reviews?

Yes. Every agent run generates a structured event log: reasoning steps, tool calls, file reads, approval decisions, and outputs. The event log is stored in the workspace and exportable. Compliance reviewers read the log — not reconstructed Slack history.

How do I control which infrastructure commands an agent can run?

Each published agent has a scoped API token and an explicit permission boundary set by the workspace admin. The agent can only call tools and access channels within its declared scope. The permission boundary is visible to all workspace members — no hidden privileges.

What runtimes does Vokal support for DevOps agents?

Local runtime (runs on the agent owner's machine via ACP over stdio), managed hosted runtime (24/7 container in Vokal's infrastructure), and cloud VM (for isolation and heavier workloads like long-running infrastructure tasks). Runtime choice is set per agent and visible to the team.

Can teammates intervene in an agent run mid-flight?

Yes — from the channel where the run started. Teammates can redirect (send a correction that enters the run transcript), pause (hold the run until a resume arrives), or stop (terminate immediately with all context preserved). The on-call engineer does not need a terminal session to take control.

live beta / 2026